Sciact
  • EN
  • RU

THE GENERAL COMPLEXITY OF THE PROBLEM TO RECOGNIZE HAMILTONIAN PATHS [О ГЕНЕРИЧЕСКОЙ СЛОЖНОСТИ ПРОБЛЕМЫ РАСПОЗНАВАНИЯ ГАМИЛЬТОНОВЫХ ПУТЕЙ] Full article

Journal Прикладная дискретная математика (Prikladnaya Diskretnaya Matematika)
ISSN: 2071-0410 , E-ISSN: 2311-2263
Output data Year: 2021, Number: 53, Pages: 120-126 Pages count : 7 DOI: 10.17223/20710410/53/8
Tags Generic complexity; Hamiltonian path
Authors Rybalov A.N. 1
Affiliations
1 Sobolev Institute of Mathematics, Omsk, Russian Federation

Funding (1)

1 Russian Science Foundation 19-11-00209

Abstract: Generic-case approach to algorithmic problems has been offered by A. Miasnikov, V. Kapovich, P. Schupp, and V. Shpilrain in 2003. This approach studies an algorithm behavior on typical (almost all) inputs and ignores the rest of inputs. In this paper, we study the generic complexity of the problem of recognition of Hamiltonian paths in finite graphs. A path in graph is called Hamiltonian if it passes through all vertices exactly once. We prove that under the conditions P 6= NP and P = BPP for this problem there is no polynomial strongly generic algorithm. A strongly generic algorithm solves a problem not on the whole set of inputs, but on a subset, the sequence of frequencies of which exponentially quickly converges to 1 with increasing size. To prove the theorem, we use the method of generic amplification, which allows to construct generically hard problems from the problems hard in the classical sense. The main component of this method is the cloning technique, which combines the inputs of a problem together into sufficiently large sets of equivalent inputs. Equivalence is understood in the sense that the problem is solved similarly for them. © 2021 Tomsk State University. All rights reserved.
Cite: Rybalov A.N.
THE GENERAL COMPLEXITY OF THE PROBLEM TO RECOGNIZE HAMILTONIAN PATHS [О ГЕНЕРИЧЕСКОЙ СЛОЖНОСТИ ПРОБЛЕМЫ РАСПОЗНАВАНИЯ ГАМИЛЬТОНОВЫХ ПУТЕЙ]
Прикладная дискретная математика (Prikladnaya Diskretnaya Matematika). 2021. N53. P.120-126. DOI: 10.17223/20710410/53/8 WOS Scopus OpenAlex
Identifiers:
Web of science: WOS:000716473900008
Scopus: 2-s2.0-85122568585
OpenAlex: W4206818985
Citing:
DB Citing
Scopus 3
Web of science 2
Altmetrics: